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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
Explore Pages
Workflows
- Workflow:Nautechsystems Nautilus trader Backtest with BacktestNode
- Workflow:Pytorch Serve Large Model Inference
- Workflow:ClickHouse ClickHouse Running Stateless Tests
- Workflow:Kubeflow Pipelines Pipeline Authoring and Compilation
- Workflow:Guardrails ai Guardrails Structured Data Generation
- Workflow:PacktPublishing LLM Engineers Handbook Digital Data ETL
- Workflow:Intel Ipex llm RAG With LangChain
- Workflow:Recommenders team Recommenders SAR Collaborative Filtering
- Workflow:FMInference FlexLLMGen Text Completion API
- Workflow:OpenRLHF OpenRLHF Math Reasoning Training
Principles
- Principle:Obss Sahi Model Initialization
- Principle:Spotify Luigi Worker Scheduler Communication
- Principle:DataExpert io Data engineer handbook Docker Environment Setup
- Principle:Ollama Ollama GGUF Model Conversion DeepSeek2
- Principle:Ggml org Ggml CPU Compute Engine
- Principle:Allenai Open instruct Actor Coordination
- Principle:Triton inference server Server QA Shell Test Infrastructure
- Principle:Tensorflow Tfjs Model Evaluation And Deployment
- Principle:Apache Paimon Table Writing
- Principle:PrefectHQ Prefect Flow Orchestration
Implementations
- Implementation:BerriAI Litellm Responses Utils
- Implementation:Openai Openai node Eval Run OutputItems
- Implementation:TobikoData Sqlmesh Spinner
- Implementation:LLMBook zh LLMBook zh github io AutoModelForCausalLM From Pretrained Bitsandbytes
- Implementation:FlowiseAI Flowise AgentflowMarketplaceCanvas
- Implementation:TobikoData Sqlmesh Loading
- Implementation:CARLA simulator Carla InMemoryMap
- Implementation:Apache Flink SplitFetcherTask
- Implementation:Open compass VLMEvalKit VDC
- Implementation:Apache Druid SchemaPreviewTable
Heuristics
- Heuristic:Ggml org Llama cpp Context Size Alignment
- Heuristic:Lm sys FastChat GPU Memory Allocation Strategy
- Heuristic:SeldonIO Seldon core Autoscaling Dual Config Tip
- Heuristic:Mage ai Mage ai HTTP Request Timeout Defaults
- Heuristic:Anthropics Anthropic sdk python Warning Deprecated LegacyAPIResponse
- Heuristic:Mage ai Mage ai Record Deduplication Before Batch Export
- Heuristic:Apache Spark Build Fallback Strategies
- Heuristic:Apache Shardingsphere DDL Refresher Superclass Fallback
- Heuristic:Hiyouga LLaMA Factory CUDA Memory Optimization
- Heuristic:NVIDIA DALI NVJPEG Memory Preallocation
Environments
- Environment:SeldonIO Seldon core Go Build Toolchain Environment
- Environment:Guardrails ai Guardrails OpenTelemetry Tracing
- Environment:Snorkel team Snorkel PySpark
- Environment:Huggingface Datasets Search Dependencies
- Environment:Apache Dolphinscheduler Java Runtime
- Environment:Huggingface Optimum GPTQ Quantization Environment
- Environment:Huggingface Datatrove Processing Dependencies
- Environment:Elevenlabs Elevenlabs python PyAudio
- Environment:Bentoml BentoML BentoCloud Credentials
- Environment:Apache Spark Python Environment